4.3 Article

Spiral Sampling Method for Quantitative Estimates of Joint Roughness Coefficient of Rock Fractures

Journal

GEOTECHNICAL TESTING JOURNAL
Volume 42, Issue 1, Pages 245-255

Publisher

AMER SOC TESTING MATERIALS
DOI: 10.1520/GTJ20170213

Keywords

rock joint roughness; roughness profiling; spiral sampling; peak shear strength

Funding

  1. 2014 Fund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shanxi Province
  2. Shanxi Scholarship Council of China
  3. Outstanding Innovative Teams of Higher Learning Institutions of Shanxi
  4. Soft-science Fund Project of Science and Technology in Shanxi
  5. Research Project for Young Sanjin Scholarship of Shanxi
  6. Collaborative Innovation Center for Geohazard Process and Prevention at Taiyuan University of Technology
  7. Recruitment Program for Young Professionals of China

Ask authors/readers for more resources

Representative sampling of surface roughness is essential for reliable and consistent estimates of joint roughness coefficients (JRCs) by quantitative formulations. The most commonly used sampling method is the straight-line profiling along a predetermined shear direction. Because of anisotropy and nonuniform distribution of roughness features on natural joint surfaces, this method may work well only when the potential shear direction is known or can be predicted. However, there are no guidelines for the density of parallel straight-line profiles and how these can be synthesized into a representative profile. This article presents a spiral sampling method that addresses the shortcomings of the straight-line method. The roughness parameters derived from the spiral scanlines are closely correlated with the JRC values back-calculated from direct shear tests.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available